Batch processes are an important way of manufacturing chemicals. They are particularly important for the production of specialty chemicals due to their flexibility, simplicity and low investment costs.

This workshop treats opportunities and challenges to improve the operation of batch processes in the framework of Real Time Optimization and of Nonlinear Model Predictive Control. This includes newly developed models of reaction kinetics, new sensors and new fast mathematical optimization methods for process operation. The effects of model-based optimizing control are demonstrated by presenting problems from several application areas, e.g. polymerization processes.

The aim of this workshop is to bring together representatives from both academia and industry in order to determine mathematical challenges of common interest, to improve and integrate process control solutions for applications across various industries, and to foster synergies and collaborations.

This event is jointly organized by the Accompanying Network Activities Project IMNET (Federal Ministry of Education and Research, BMBF), the Interdisciplinary Center for Scientific Computing (IWR) and the Heidelberg Collaboratory for Industrial Optimization (HCO) at Heidelberg University, and BASF SE, and supported by KoMSO.